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1.嘉兴市长三角区块链技术研究院,浙江 嘉兴 314006
2.南开大学软件学院,天津 300350
3.嘉兴职业技术学院嘉兴市工业互联网安全重点实验室,浙江 嘉兴 314036
4.浙江省公安厅,浙江 杭州 310009
5.浙江省教育技术中心,浙江 杭州310014
6.浙江大学工程师学院,浙江 杭州 310058
[ "马焜(1988- ),男,博士,南开大学在站博士后,主要研究方向为云计算、边缘计算、人工智能等。" ]
[ "胡创悦(1990- ),女,嘉兴市长三角区块链技术研究院工程师,主要研究方向为人工智能、数字化建筑工程。" ]
[ "张玉志(1964- ),男,南开大学讲席教授、博士生导师,主要研究方向为人工智能和软件工程。" ]
[ "马方超(1990- ),男,浙江省公安厅警务技术二级主管,主要研究方向为网络和数据安全、网络安全等级保护。" ]
[ "王晓冬(1981- ),男,浙江省教育技术中心信息技术部主任,主要研究方向为数字化应用建设、网络安全、数据安全。" ]
[ "党中华(1966- ),男,嘉兴职业技术学院副教授,主要研究方向为软件工程。" ]
[ "肖文红(1971- ),男,嘉兴职业技术学院副教授,主要研究方向为计算机网络技术。" ]
[ "陈双喜(1980- ),男,博士,嘉兴职业技术学院教授,浙江省网络空间安全协会人才培养专委会秘书长,主要研究方向为网络空间安全拟态防御。" ]
收稿日期:2024-01-06,
修回日期:2024-08-08,
纸质出版日期:2024-09-20
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马焜,胡创悦,张玉志等.云联盟三层架构:博弈型QoS建模[J].电信科学,2024,40(09):146-161.
MA Kun,HU Chuangyue,ZHANG Yuzhi,et al.Cloud federation three-layer architecture: game-theoretic QoS modeling[J].Telecommunications Science,2024,40(09):146-161.
马焜,胡创悦,张玉志等.云联盟三层架构:博弈型QoS建模[J].电信科学,2024,40(09):146-161. DOI: 10.11959/j.issn.1000-0801.2024200.
MA Kun,HU Chuangyue,ZHANG Yuzhi,et al.Cloud federation three-layer architecture: game-theoretic QoS modeling[J].Telecommunications Science,2024,40(09):146-161. DOI: 10.11959/j.issn.1000-0801.2024200.
面对国内外大型公有云供应商的激烈竞争,中小云厂商的生存难度加大。为此,建立一个基于相互合作的云联盟成为了这些厂商的一种可行策略。然而,在追求个体最大利益和保障联盟整体服务质量(quality of service,QoS)之间存在着复杂的博弈关系。针对上述问题,一种基于QoS的云联盟模型被提出,其涵盖云计算的三层架构。在应用层至虚拟层,引入了一种基于差分进化(differential evolution,DE)算法的创新任务分配策略,专门用于处理多QoS任务分配问题。在虚拟层至物理层,设计了合作与竞争并存的虚拟机迁移模型,适用于在云联盟博弈计算环境下实现虚拟机迁移的能耗与QoS之间的平衡。实验结果表明,所提出的解决方案改进了云计算环境的服务质量,并揭示了在云联盟环境中,合作和竞争两种模式的相对优势。
Facing intense competition from large public cloud providers both domestically and internationally
the survival difficulties of small and medium cloud providers have increased. To address this
establishing a cloud federation based on cooperation has become a viable strategy for these providers. However
there is a complex interplay between pursuing individual maximum benefits and ensuring the overall quality of service (QoS) of the federation. A QoS based cloud federation model was proposed to address the above issues
covering a three-layer architecture of cloud computing. At the application to virtual layer
an innovative task allocation strategy based on the differential evolution (DE) algorithm was proposed
specifically designed to handle multi-QoS task distribution challenges. At the virtual to physical layer
a model for virtual machine migration that coexists with cooperation and competition was proposed
suitable for balancing energy consumption and QoS in a cloud federation game-theoretic computing environment. The experimental results indicate that the proposed solution improved the service quality of cloud computing environments and revealed the relative advantages of running cooperation and competition modes in cloud federation.
ABID A , MANZOOR M F , FAROOQ M S , et al . Challenges and issues of resource allocation techniques in cloud computing [J ] . KSII Transactions on Internet and Information Systems (TIIS) , 2020 , 14 ( 7 ): 2815 - 2839 .
GOEL G , TANWAR P , BANSAL V , et al . The challenges and issues with virtualization in cloud computing [C ] // Proceedings of the 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI) . Piscataway : IEEE Press , 2021 : 1334 - 1338 .
RIMAL B P , CHOI E , LUMB I . A taxonomy and survey of cloud computing systems [C ] // Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC . Piscataway : IEEE Press , 2009 : 44 - 51 .
MELL P , GRANCE T . NIST special publication 800-145: the NIST definition of cloud computing [S ] . Gaithersburg : National Institute of Standards and Technology , 2011 .
MASANET E , SHEHABI A , LEI N A , et al . Recalibrating global data center energy-use estimates [J ] . Science , 2020 , 367 ( 6481 ): 984 - 986 .
BELOGLAZOV A , BUYYA R . Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud Data Centers [J ] . Concurrency and Computation: Practice and Experience , 2012 , 24 ( 13 ): 1397 - 1420 .
FARID M , LATIP R , HUSSIN M , et al . A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing [J ] . Symmetry , 2020 , 12 ( 4 ): 551 .
QI L Y , CHEN Y , YUAN Y , et al . A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems [J ] . World Wide Web , 2020 , 23 ( 2 ): 1275 - 1297 .
LIANG H G , WEN X Q , LIU Y K , et al . Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning [J ] . Robotics and Computer-Integrated Manufacturing , 2021 ( 67 ): 101991 .
HEIDARI A , JAFARI NAVIMIPOUR N . A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm [J ] . PeerJ Computer Science , 2021 ( 7 ): e539 .
TRICOMI G , MERLINO G , PANARELLO A , et al . Optimal selection techniques for cloud service providers [J ] . IEEE Access , 2020 ( 8 ): 203591 - 203618 .
PAL R , YIN X L , GOLUBCHIK L . Graphical federated cloud sharing markets [J ] . IEEE Transactions on Sustainable Computing , 2021 , 6 ( 4 ): 710 - 712 .
BAGULA M F , BAGULA H , MANDAVA M , et al . Cyber-healthcare kiosks for healthcare support in developing countries [C ] //MENDY G, OUYA S, DIOUM I, et al. International Conference on e-Infrastructure and e-Services for Developing Countries . Cham : Springer , 2019 : 185 - 198 .
BAGULA A , MANDAVA M , BAGULA H . A framework for healthcare support in the rural and low income areas of the developing world [J ] . Journal of Network and Computer Applications , 2018 ( 120 ): 17 - 29 .
LUBAMBA C , BAGULA A . Cyber-healthcare cloud computing interoperability using the HL7-CDA standard [C ] // Proceedings of the 2017 IEEE Symposium on Computers and Communications (ISCC) . Piscataway : IEEE Press , 2017 : 105 - 110 .
CELESTI A , FAZIO M , GALÁN MÁRQUEZ F , et al . How to develop IoT cloud e-health systems based on FIWARE: a lesson learnt [J ] . Journal of Sensor and Actuator Networks , 2019 , 8 ( 1 ): 7 .
MURAD S S , BADEEL R , SALIH N , et al . Optimized Min-Min task scheduling algorithm for scientific workflows in a cloud environment [J ] . J. Theor. Appl. Inf. Technol , 2022 ( 100 ): 480 - 506 .
SHAKIL K A , ALAM M , KHAN S . A latency-aware Max-Min algorithm for resource allocation in cloud [J ] . International Journal of Electrical and Computer Engineering (IJECE) , 2021 , 11 ( 1 ): 671 .
GAO Y , RONG H , HUANG J . Adaptive grid job scheduling with genetic algorithms [J ] . Future Gener Comput Syst , 2005 ( 21 ): 151 - 161 .
NOORIANTALOUKI R , HOSSEINI SHIRVANI M , MOTAMENI H . A heuristic-based task scheduling algorithm for scientific workflows in heterogeneous cloud computing platforms [J ] . Journal of King Saud University - Computer and Information Sciences , 2022 , 34 ( 8 ): 4902 - 4913 .
LI T S , ZHANG X X . Differentiated service-based evolutionary game scheduling algorithm for cloud computing [J ] . Journal of Beijing University of Posts and Telecommunications , 2013 , 36 ( 1 ): 41 - 45 .
TANG X Y , SHI C , DENG T , et al . Parallel random matrix particle swarm optimization scheduling algorithms with budget constraints on cloud computing systems [J ] . Applied Soft Computing , 2021 ( 113 ): 107914 .
BASKARAN N , ESWARI R . Efficient VM selection strategies in cloud datacenter using fuzzy soft set [J ] . Journal of Organizational and End User Computing , 2021 , 33 ( 5 ): 153 - 179 .
GHAREHPASHA S , MASDARI M . A discrete chaotic multi-objective SCA-ALO optimization algorithm for an optimal virtual machine placement in cloud data center [J ] . Journal of Ambient Intelligence and Humanized Computing , 2021 , 12 ( 10 ): 9323 - 9339 .
PADMAVATHY T , ANITHA R . An efficient virtual machine allocation using single stage weapon target assignment model in cloud software-defined network environment [J ] . International Journal of Communication Systems , 2022 , 35 ( 6 ): e5086 .
VERMA G . Secure VM migration in cloud: multi-criteria perspective with improved optimization model [J ] . Wireless Personal Communications , 2022 , 124 ( 1 ): 75 - 102 .
DAHAN F . An effective multi-agent ant colony optimization algorithm for QoS-aware cloud service composition [J ] . IEEE Access , 2021 ( 9 ): 17196 - 17207 .
YU Q H , WAN H , ZHAO X B , et al . Online scheduling for dynamic VM migration in multicast time-sensitive networks [J ] . IEEE Transactions on Industrial Informatics , 2020 , 16 ( 6 ): 3778 - 3788 .
PATEL D , GUPTA R K , PATERIYA R K . Energy-aware prediction-based load balancing approach with VM migration for the cloud environment [M ] . Singapore : Springer , 2019 : 59 - 74 .
VIJIN R , BANUMATHI J . Federation of selfish cloud providers by innovative economic and secure sharing model [J ] . Journal of Network Communications and Emerging Technologies (JNCET) 2015 , 2 ( 1 ).
AHMED U , AL-SAIDI A , PETRI I , et al . QoS-aware trust establishment for cloud federation [J ] . Concurrency and Computation: Practice and Experience , 2022 , 34 ( 3 ): e6598 .
KHAN M S A , SANTHOSH R . Hybrid optimization algorithm for VM migration in cloud computing [J ] . Computers and Electrical Engineering , 2022 ( 102 ): 108152 .
SUN J Y , ZHANG Q F , TSANG E P K . DE/EDA: a new evolutionary algorithm for global optimization [J ] . Information Sciences , 2005 , 169 ( 3/4 ): 249 - 262 .
KAUR P , RANI A . Virtual machine migration in cloud computing [J ] . International Journal of Grid and Distributed Computing , 2015 , 8 ( 5 ): 337 - 342 .
CALHEIROS R N , RANJAN R , BELOGLAZOV A , et al . CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms [J ] . Software: Practice and Experience , 2011 , 41 ( 1 ): 23 - 50 .
FOSTER I , KESSELMAN C . The Grid 2: blueprint for a new computing infrastructure [M ] . Amsterdam : Elsevier Press , 2003 .
NASAB S S F, MARJANEH T Z, BAHREPOUR D. Energy efficiency and establishing service level agreement using fuzzification of virtual machine selection policies for migrating in cloud computing [C ] // Proceedings of the 2023 9th International Conference on Web Research (ICWR) . Piscataway : IEEE Press , 2023 : 201 - 207 .
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